Template-Type: ReDIF-Article 1.0 Author-Name: Detcharat Sumrit Author-X-Name-First: Detcharat Author-X-Name-Last: Sumrit Title: A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry Abstract: Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement. Journal: Int. J. of Management and Decision Making Pages: 1-43 Issue: 1 Volume: 19 Year: 2020 Keywords: analytic network process; ANP; fuzzy Delphi; fuzzy DEMATEL; multi-criteria decision making; MCDM; TOPSIS. File-URL: http://www.inderscience.com/link.php?id=104182 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:1-43 Template-Type: ReDIF-Article 1.0 Author-Name: Sarbeswara Hota Author-X-Name-First: Sarbeswara Author-X-Name-Last: Hota Author-Name: Kuhoo Author-X-Name-First: Author-X-Name-Last: Kuhoo Author-Name: Debahuti Mishra Author-X-Name-First: Debahuti Author-X-Name-Last: Mishra Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Title: An empirical net asset value forecasting model based on optimised ANN using elephant herding strategy Abstract: Net asset value (NAV) prediction of mutual funds is one of the promising tasks of financial time series data forecasting. It enables the investors to choose the desired mutual fund for investing. Artificial neural network (ANN) is well suited for NAV prediction as the NAV data are nonlinear in nature. This paper proposes the ANN model hybridised with elephant herding optimisation (EHO) algorithm to predict the NAV of different interval days ahead for two of the Indian mutual funds. The prediction performance of ANN-EHO model is compared with ANN, ANN-GA, ANN-PSO and ANN-DE. The results implicate that ANN-EHO model is superior to other four models. Journal: Int. J. of Management and Decision Making Pages: 118-132 Issue: 1 Volume: 19 Year: 2020 Keywords: net asset value; NAV; elephant herding optimisation; EHO; differential evolution; DE; matriarch. File-URL: http://www.inderscience.com/link.php?id=104183 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:118-132 Template-Type: ReDIF-Article 1.0 Author-Name: Long Pham Author-X-Name-First: Long Author-X-Name-Last: Pham Author-Name: Stan Williamson Author-X-Name-First: Stan Author-X-Name-Last: Williamson Author-Name: Peggy Lane Author-X-Name-First: Peggy Author-X-Name-Last: Lane Author-Name: Yam Limbu Author-X-Name-First: Yam Author-X-Name-Last: Limbu Author-Name: Pham Thi Hoan Nguyen Author-X-Name-First: Pham Thi Hoan Author-X-Name-Last: Nguyen Author-Name: Tatyana Coomer Author-X-Name-First: Tatyana Author-X-Name-Last: Coomer Title: Technology readiness and purchase intention: role of perceived value and online satisfaction in the context of luxury hotels Abstract: This study investigates the relationships among customer technology readiness, perceived value, satisfaction with hotel website integrated self-service technologies, and purchase intention. The data for this study were collected from 668 international tourists who stayed in major cities' luxury hotels in Vietnam. Data were analysed using structural equation modelling technique. The results indicated that optimism and innovativeness positively influence customer perceived value, and insecurity negatively influences customer perceived value; optimism and innovativeness positively influence customer satisfaction; insecurity negatively influences customer purchase intention; customer perceived value positively influences customer satisfaction and customer purchase intention; and customer satisfaction positively influences customer purchase intention. Theoretical contributions and managerial implications are discussed. Journal: Int. J. of Management and Decision Making Pages: 91-117 Issue: 1 Volume: 19 Year: 2020 Keywords: technology readiness; perceived value; customer satisfaction; purchase intention; Vietnam. File-URL: http://www.inderscience.com/link.php?id=104208 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:91-117 Template-Type: ReDIF-Article 1.0 Author-Name: Fabio Miguel Junges Author-X-Name-First: Fabio Miguel Author-X-Name-Last: Junges Author-Name: Amarolinda Zanela Klein Author-X-Name-First: Amarolinda Zanela Author-X-Name-Last: Klein Author-Name: Claudio Reis Gonçalo Author-X-Name-First: Claudio Reis Author-X-Name-Last: Gonçalo Author-Name: Carsten Sørensen Author-X-Name-First: Carsten Author-X-Name-Last: Sørensen Title: Mobile work, mobile technology: consequences for decision-making Abstract: This article explores how the decision-making processes that occur during mobile work differ from those that occur in fixed workplaces. We explored if the levels of intuition and rationality change in decision-making processes and how the use of mobile ICT influence the individual's perception of information quality. A qualitative research approach was applied combining a group and individual interviews, and a non-participant observation of a decision-making process simulation with 115 participants. The levels of intuition and reasoning in decision-making are not different between fixed and mobile groups. However, there is a perception of lower information quality and difficulties to process information in a mobility context. The time pressure caused by the constant connectivity via mobile devices has potentially adverse consequences for decision-making, increasing individuals' exposure to error. As positive consequences, there is greater agility of decision flows related to the use of mobile ICT, especially regarding low complexity decisions. Journal: Int. J. of Management and Decision Making Pages: 66-90 Issue: 1 Volume: 19 Year: 2020 Keywords: decision-making; mobility; mobile ICT; mobile work; intuition. File-URL: http://www.inderscience.com/link.php?id=104209 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:66-90 Template-Type: ReDIF-Article 1.0 Author-Name: Anjali Singh Author-X-Name-First: Anjali Author-X-Name-Last: Singh Author-Name: Anjana Gupta Author-X-Name-First: Anjana Author-X-Name-Last: Gupta Title: Best criteria selection based PROMETHEE II to aid decision-making under 2-tuple linguistic framework: case-study of the most energy efficient region worldwide Abstract: In this paper, a new methodology, inspired by the PROMETHEE II method, is proposed to analyse and elucidate the decision making problems under the 2-tuple linguistic framework. The approach primarily gives prominence to decision problems with a large number of alternatives and criteria. The featuring essence of the algorithm is extraneity of the criteria weights, an imperative prerequisite for linguistic PROMETHEE II method. A case study to examine the energy efficiency of eight regions worldwide based on numerous energy efficiency indicators, as reported in World Energy Council (WEC) 8th triennial report on energy efficiency policies, is explored under the 2-tuple linguistic framework to manifest the applicability of the proposed methodology. The validity of the acquired rank of the regions is ascertained from the outlook of rank correlation coefficient. The algorithm evinces high correlation with prominent extant multi-criteria decision making (MCDM) methods to indicate the efficacy and competency of the proposed method. Journal: Int. J. of Management and Decision Making Pages: 44-65 Issue: 1 Volume: 19 Year: 2020 Keywords: multi-criteria decision-making; MCDM; energy efficiency; 2-tuple linguistic variable; spearmen rank correlation coefficient; PROMETHEE II. File-URL: http://www.inderscience.com/link.php?id=104210 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:44-65 Template-Type: ReDIF-Article 1.0 Author-Name: Nahid Kohansal Author-X-Name-First: Nahid Author-X-Name-Last: Kohansal Author-Name: Fereshteh Daneshdoost Author-X-Name-First: Fereshteh Author-X-Name-Last: Daneshdoost Author-Name: Arash Bazyar Author-X-Name-First: Arash Author-X-Name-Last: Bazyar Author-Name: Sadegh Niroomand Author-X-Name-First: Sadegh Author-X-Name-Last: Niroomand Title: An integrated MILP-MCDM decision framework for uncertain multi-criteria facilities location problem of glass industries Abstract: In existence of interval-valued parameters and managerial limitations, MCDM problems become more complex than their classical versions. In such cases, the classical MCDM techniques are not quite useful solution tools. This study focuses on a MCDM problem to establish the branches of a glass production company in all districts of Iran in existence of interval-valued parameters and managerial limitations. To overcome the above-mentioned difficulties, a typical decision framework is proposed. In the proposed framework, first, an interval Shannon's entropy approach is proposed to find interval criteria weights. Then a full interval TOPSIS approach is proposed to score the potential locations. Finally, using the obtained scores, a mixed integer linear programming model is developed to respect the constraints and find an optimised set of potential locations for the new branches. The proposed decision framework is validated by the real data of the case study and its sensitivity is studied in detail. Journal: Int. J. of Management and Decision Making Pages: 207-238 Issue: 2 Volume: 19 Year: 2020 Keywords: TOPSIS method; Shannon's entropy; interval number; multi-criteria decision-making; MCDM; case study; managerial decisions. File-URL: http://www.inderscience.com/link.php?id=108203 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:2:p:207-238 Template-Type: ReDIF-Article 1.0 Author-Name: Suprava Devi Author-X-Name-First: Suprava Author-X-Name-Last: Devi Author-Name: Mitali Madhusmita Nayak Author-X-Name-First: Mitali Madhusmita Author-X-Name-Last: Nayak Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Title: Decision-making models and tools: a critical study Abstract: The important process for any business organisation is decision-making, which need resources. The process of making decision is fundamental and vital for any business organisation. This paper includes various decision-making models and its techniques in details along with its suitability. The significance of this study is to choose the appropriate and correct model for business. The paper proposes that a particular decision-making model becomes a suitable tool for decision makers under fluctuating conditions and time stress. When the parameter of the environment changes, the model has to be chosen accordingly. We also discuss the phases of the decision-making which includes distinct techniques to support each stage of the decision-making process to interpret the business thoughts into a noticeable, transmissible structure. This paper includes the performance measurement that provides benchmarks about optimum performance by the system and it can help to make better decisions, meet the challenges, and achieve the missions under the specific decision-making frameworks. Journal: Int. J. of Management and Decision Making Pages: 176-206 Issue: 2 Volume: 19 Year: 2020 Keywords: decision-making models; decision-making process; tools; methods; performance measures; phases of decision-making. File-URL: http://www.inderscience.com/link.php?id=108204 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:2:p:176-206 Template-Type: ReDIF-Article 1.0 Author-Name: Khodakaram Salimifard Author-X-Name-First: Khodakaram Author-X-Name-Last: Salimifard Author-Name: Sara Bigharaz Author-X-Name-First: Sara Author-X-Name-Last: Bigharaz Title: A network-based solution for the fair student-to-school allocation Abstract: This paper presents a mathematical model for planning in public schools, considering the satisfaction of the total demand for education, fair students' access to schools, and the total travel distance. Given a set of schools, the aim of the model is to find an optimal allocation of students such that school should is available to each group of students. The model includes information about geographical prioritised access zones which should be covered by each school. The objective function essentially seeks to minimise the total distance travelled by students. We propose a multi-commodity programming model for solving this problem. The model is used to analyse the effects of different allocation policies on the fairness of student allocation to schools. Results show that a fair distribution of students of each social class to each school is obtained, while the total distance being travelled is minimised. Journal: Int. J. of Management and Decision Making Pages: 157-175 Issue: 2 Volume: 19 Year: 2020 Keywords: student-to-school allocation; multi-commodity network flow; MCNF; geographical prioritisation; integer programming. File-URL: http://www.inderscience.com/link.php?id=108217 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:2:p:157-175 Template-Type: ReDIF-Article 1.0 Author-Name: Alexander I. Mechitov Author-X-Name-First: Alexander I. Author-X-Name-Last: Mechitov Author-Name: Helen M. Moshkovich Author-X-Name-First: Helen M. Author-X-Name-Last: Moshkovich Title: An efficient verifiable process for ordinal pairwise comparisons Abstract: Ordinal consistency forms the basis for rationality in pairwise comparisons and is expressed as transitivity of binary preferences. We propose a new approach to the ordinal consistency which combines two main parts. First, a process is proposed which requires a smaller number of comparisons from a decision maker to compare all objects. Second, a principle of double check for indirect comparisons is introduced for the verification purposes. In case of ordinal inconsistency a previously developed system ORCON may be used to resolve inconsistency in a dialogue with a decision maker. The efficiency of the process is evaluated through a computer modelling and data from published research. Journal: Int. J. of Management and Decision Making Pages: 133-156 Issue: 2 Volume: 19 Year: 2020 Keywords: ordinal consistency; cycle; transitivity; pairwise comparisons; verbal decision analysis; VDA; MCDM; MCDA. File-URL: http://www.inderscience.com/link.php?id=108232 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:2:p:133-156 Template-Type: ReDIF-Article 1.0 Author-Name: Hien Nguyen Author-X-Name-First: Hien Author-X-Name-Last: Nguyen Author-Name: Long Pham Author-X-Name-First: Long Author-X-Name-Last: Pham Author-Name: Stan Williamson Author-X-Name-First: Stan Author-X-Name-Last: Williamson Author-Name: Nguyen Duy Hung Author-X-Name-First: Nguyen Duy Author-X-Name-Last: Hung Title: Individual investors' satisfaction and loyalty in online securities trading using the technology acceptance model Abstract: This research integrates perceived trust, perceived security, perceived privacy, and switching cost into the TAM in order to explain the relationship between customer satisfaction and customer loyalty. This study is one of the first comprehensive and systematic research efforts on the relationship between customer satisfaction and customer loyalty in the online trading setting of Vietnam. Results of this study show that the integrated model demonstrated very high predictive power, explaining more than 64% of the variability of customer loyalty. The study also demonstrates that in Vietnam's online trading setting, perceived trust has positive impacts on perceived ease of use and perceived usefulness; perceived ease of use has a positive impact on perceived usefulness; perceived trust and perceived usefulness have positive impacts on satisfaction; and finally, customer satisfaction has a positive impact on customer loyalty. Journal: Int. J. of Management and Decision Making Pages: 239-266 Issue: 2 Volume: 19 Year: 2020 Keywords: individual investor; securities trading; satisfaction; loyalty; security; privacy; trust; TAM. File-URL: http://www.inderscience.com/link.php?id=108233 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijmdma:v:19:y:2020:i:2:p:239-266 Template-Type: ReDIF-Article 1.0 Author-Name: Dariush Akbarian Author-X-Name-First: Dariush Author-X-Name-Last: Akbarian Title: A new DEA ranking system based on interval cross efficiency and interval analytic hierarchy process methods Abstract: The aim of this paper is to present a novel approach for ranking all decision maker units (DMUs) using interval cross-efficiency (ICE) and interval analytic hierarchy process (IAHP) methods. This approach includes two basic stages. In the first stage, the interval cross-efficiency values of each DMU are specified using DEA models. In the second stage, the interval pairwise comparison matrix generated in the first stage is utilised to rank the units (DMUs) via the one step process of interval AHP (i.e., the AHP model with interval decision maker judgements). Two numerical examples are presented in this paper and the present approach is compared with some other approaches. Journal: Int. J. of Management and Decision Making Pages: 344-363 Issue: 3 Volume: 19 Year: 2020 Keywords: data envelopment analysis; DEA; interval analytical hierarchy process; IAHP; interval cross efficiency; ICE; ranking. File-URL: http://www.inderscience.com/link.php?id=108641 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:3:p:344-363 Template-Type: ReDIF-Article 1.0 Author-Name: Shervin Zakeri Author-X-Name-First: Shervin Author-X-Name-Last: Zakeri Author-Name: Mohammad Reza Rostamian Delavar Author-X-Name-First: Mohammad Reza Rostamian Author-X-Name-Last: Delavar Author-Name: Naoufel Cheikhrouhou Author-X-Name-First: Naoufel Author-X-Name-Last: Cheikhrouhou Title: Dairy market selection approach using MCDM methods: a case of Iranian dairy market Abstract: This paper addresses the development of a multi-criteria decision making (MCDM) procedure including a pattern extraction from success and failure of current market introduction to generate a logical framework for target market selection. In addition of covering the gap of comprehensive research in Iran's domestic dairy market, using combined MCDM methods and grey systems, the main problem this paper tries to solve is the selection of a target market which covers not only the limitations of the company's current markets but also possesses their advantages. A real-world implementation of the approach is done within a dairy company located in Iran. Considering Tehran, the North, Khuzestan, and West Azerbaijan as the current market, and also Mashhad, Isfahan, Shiraz, and Tabriz as the potential market, Shiraz selected as the best target market through analysis of various criteria. Results show that considering current markets has a big influence on the market ranking procedure. Journal: Int. J. of Management and Decision Making Pages: 267-311 Issue: 3 Volume: 19 Year: 2020 Keywords: market selection; dairy market; multi-criteria decision making; MCDM; Iranian dairy markets. File-URL: http://www.inderscience.com/link.php?id=108642 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:3:p:267-311 Template-Type: ReDIF-Article 1.0 Author-Name: Bruno F. Abrantes Author-X-Name-First: Bruno F. Author-X-Name-Last: Abrantes Author-Name: Miguel Torres Preto Author-X-Name-First: Miguel Torres Author-X-Name-Last: Preto Author-Name: Nelson António Author-X-Name-First: Nelson Author-X-Name-Last: António Title: SMEs foreign establishment decision-making: a multiple-case research of internationalisation strategies in the metallurgy and metal-mechanic industry Abstract: This research aims to untangle the decision-making of Portuguese firms in their selection of overseas host-markets. Herein, a theoretical review will cover both the decision-making and internationalisation theory. Restricted to a target population of SMEs, the empirical testing is focused on the areas of risk-perception and the pace of commitment, and is therefore, a multiple case design comprising a representative sample of the different segments of the sector. The research follows a post-positivistic rationale aligned with its descriptive-evaluative purpose, combining the collection of contrived data and subsequent manipulation in a sequential explanatory mixed methods logic. Quantitative data from documentary analysis, is proceeded by qualitative data from interviews to the strategic apex of the case-firms, coded through content analysis. Results demonstrate that commitment decisions follow distinctive risk-profiles, influenced by a dyad of Ricardian comparative-advantage factors and public policy' practices impacting directly on cross-border establishment decisions. Journal: Int. J. of Management and Decision Making Pages: 364-390 Issue: 3 Volume: 19 Year: 2020 Keywords: decision-making; foreign establishment; internationalisation; commitment; market-entry; pace of commitment; risk; transnationality index; TNI. File-URL: http://www.inderscience.com/link.php?id=108647 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:3:p:364-390 Template-Type: ReDIF-Article 1.0 Author-Name: Nikolay A. Zenkevich Author-X-Name-First: Nikolay A. Author-X-Name-Last: Zenkevich Author-Name: Sajad Kazemi Author-X-Name-First: Sajad Author-X-Name-Last: Kazemi Title: A conceptual framework for investigation of supply network leadership Abstract: The main aim of this research is to propose a conceptual framework to investigate and measure the supply network (SN) leader as a critical issue for SN modification and design tasks. To this aim, this research introduces a holistic definition for SN leader by taking a multidimensional, multidisciplinary and multilevel viewpoint. Accordingly, using the proposed definition and dominant theories, characteristics, and features of leader in the literature, three propositions presented to lead SN leader measurement theoretically as a foundation for further investigation. The significant findings of this research are on the investigation of SN leader based on the performance improvement as the final goal through incorporating three levels of analysis: 1) structural characteristics with implementing the centrality measurement; 2) inter-organisational relationship and relevant network institutions and governance with applying the game theory; 3) operational processes with utilising the data envelopment analysis for efficiency measurement. Journal: Int. J. of Management and Decision Making Pages: 312-343 Issue: 3 Volume: 19 Year: 2020 Keywords: leadership; competitive positions; network interactions; operational processes; supply network structure; centrality; data envelopment analysis; DEA; game theory; leader. File-URL: http://www.inderscience.com/link.php?id=108648 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:3:p:312-343 Template-Type: ReDIF-Article 1.0 Author-Name: S. Hossein Jalali Author-X-Name-First: S. Hossein Author-X-Name-Last: Jalali Title: Interplay between cognition and design: how performance of strategic alliance with different design affected by cognitive capabilities? Abstract: While extant literature has shown that formal contracts and relational governance are at play in strategic alliances design, surprisingly little is known about the prerequisites of administration within these organisational structures to reach to their potential benefits. Alliances' administration needs not only functional but also cognitive capabilities. To deeper understand of relationship between managerial cognition and alliance design, current study was employed the concept of cognitive capability and relationships between psychological underpinnings of cognitive capability and performance of alliances with contractual or relational design were studied. Using OLS regression analysis, the empirical models comprised of perception, attention, problem-solving, communication and social cognition are designed to explain the role of cognitive capability in performance of strategic alliances with contractual and relational designs. Results provide a clear understanding of the importance of cognitive capability in alliances' design and show how these psychological underpinnings fuel alliances' performance in contractual and relational governance's. Journal: Int. J. of Management and Decision Making Pages: 391-407 Issue: 4 Volume: 19 Year: 2020 Keywords: strategic alliance; alliance design; cognitive capability; contractual design; relational design. File-URL: http://www.inderscience.com/link.php?id=110880 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:4:p:391-407 Template-Type: ReDIF-Article 1.0 Author-Name: Abhishek Kumar Singh Author-X-Name-First: Abhishek Kumar Author-X-Name-Last: Singh Author-Name: Cherian Samuel Author-X-Name-First: Cherian Author-X-Name-Last: Samuel Title: Positioning strategy implementation barriers: a decision making approach based on resource-based theory Abstract: The first aim of this paper is to present the issue of apparel retailing in India with the simultaneous determination of barriers to positioning strategy implementation. Second, measure the causality, comparative strength and network structure of the barriers in the way of successful strategy implementation. Key barriers identified with the help of literature review from peer-reviewed papers and validated by experts. Grey theory employed to refine the opinions collected from experts then employed DEMATEL to quantitatively calculate the importance, causality, comparative strength and effect in the interaction among barriers. This paper has identified 17 implementation barriers of competitive positioning strategy which hinders successful implementation of strategy in the apparel retail stores. Further, cause/effect relationships among these barriers have been developed using grey-DEMATEL approach. This research is highly noteworthy for apparel retailers to position their stores in the competitive market and eradicate the main barriers with the help of systematic approach. Journal: Int. J. of Management and Decision Making Pages: 473-504 Issue: 4 Volume: 19 Year: 2020 Keywords: retail competitive positioning; grey analysis; DEMATEL; strategy implementation; decision making; dynamic capability; resource-based theory; RBT. File-URL: http://www.inderscience.com/link.php?id=110884 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:4:p:473-504 Template-Type: ReDIF-Article 1.0 Author-Name: Negar Roghaee Author-X-Name-First: Negar Author-X-Name-Last: Roghaee Author-Name: Emran Mohammadi Author-X-Name-First: Emran Author-X-Name-Last: Mohammadi Author-Name: Nilofar Varzgani Author-X-Name-First: Nilofar Author-X-Name-Last: Varzgani Title: Performance evaluation and ranking of electricity companies using fuzzy network data envelopment analysis: a case study of Iranian regional electricity organisations Abstract: Data envelopment analysis (DEA) is one of the most appropriate methods for a data-oriented approach to evaluate the performance of a set of entities called decision making units (DMUs). This study aims at evaluating the efficiency of Iranian regional power companies using data envelopment analysis (DEA), under the uncertainty conditions in the fuzzy necessity scheme. In this study, we determine the total efficiency as well as the efficiency of each stage including the production, transmission and distribution using fuzzy network DEA (FNDEA). Since the Iranian power industries have a network structure, the network DEA process has been used for evaluating the efficiency of the processes of companies. Sixteen Iranian regional power companies were selected and analysed based on the performance of the production, transferring, and distribution. Journal: Int. J. of Management and Decision Making Pages: 450-472 Issue: 4 Volume: 19 Year: 2020 Keywords: fuzzy mathematical programming; Iranian power industry; network data envelopment analysis; NDEA; performance assessment; uncertainty. File-URL: http://www.inderscience.com/link.php?id=110885 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:4:p:450-472 Template-Type: ReDIF-Article 1.0 Author-Name: Alejandra Moreno-López Author-X-Name-First: Alejandra Author-X-Name-Last: Moreno-López Author-Name: Juan Emilio Torres Author-X-Name-First: Juan Emilio Author-X-Name-Last: Torres Title: The ontological and epistemological turn in organisation studies Abstract: A change in the way of thinking about organisations has given rise to a plethora of theoretical debates seeking to explore the duality in the understanding of organisations as entities or as the continuous flux of organisational life, and has produced changes in the dominant ontological and epistemological assumptions of organisation studies. To shed a light on this field of studies, this narrative literature review examines these changes, from the acceptance of an organisation as an entity to that of a flexible, constantly changing organisation, and from simplifying to complexifying theories. Finally, it aims to contribute to enriching the theoretical development by recognising the importance of the underlying complexity in human action and of the situational and the unique that emerge within organisational phenomena. Journal: Int. J. of Management and Decision Making Pages: 408-425 Issue: 4 Volume: 19 Year: 2020 Keywords: organisation studies; ontological turn; epistemological turn; complexity; literature review. File-URL: http://www.inderscience.com/link.php?id=110886 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:4:p:408-425 Template-Type: ReDIF-Article 1.0 Author-Name: Dave J. Pojadas Author-X-Name-First: Dave J. Author-X-Name-Last: Pojadas Author-Name: Michael Lochinvar S. Abundo Author-X-Name-First: Michael Lochinvar S. Author-X-Name-Last: Abundo Title: A web-based Delphi multi-criteria group decision-making framework for renewable energy project development processes Abstract: Our desire to abridge decision-making for complex problems related to renewable energy development processes led us to partially envelop the multi-criteria decision-making (MCDM) with classical Delphi and come up with a framework for web-based group decision-making. This paper presents how the Delphi technique is used to elicit sets of relevant qualitative inputs from experts' opinions and shows how MCDM methods are utilised to rank alternate solutions. The no-veto single-peer acceptance concept is also introduced to gather all valid criteria and alternatives. The Delphi-AHP-PROMETHEE combination is then outlined as a use-case and implemented to rank renewable energy sources for the energy policy of Bohol using technical, economic, social and environmental criteria. The results of the study revealed that solar energy emerges the best option for renewable utilisation in the study area, while biomass energy is ranked the least. Journal: Int. J. of Management and Decision Making Pages: 426-449 Issue: 4 Volume: 19 Year: 2020 Keywords: multi-criteria decision-making; MCDM; PROMETHEE; Delphi; analytical hierarchy process; AHP; group decision-making. File-URL: http://www.inderscience.com/link.php?id=110887 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:19:y:2020:i:4:p:426-449